Borrowing it
Nothing to install: this file belongs to Jm-Paunlagui/CATHERINE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jm-Paunlagui/CATHERINE/main/.claude/agents/senior-nextjs-engineer-planner.agent.mdgit clone --depth 1 https://github.com/Jm-Paunlagui/CATHERINEWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/jm-paunlagui/catherine/senior-nextjs-engineer-planner)<a href="https://agentmods.dev/agents/jm-paunlagui/catherine/senior-nextjs-engineer-planner"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-nextjs-engineer-planner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/jm-paunlagui/catherine/senior-nextjs-engineer-planner"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-nextjs-engineer-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00090 | $0.00922 |
| Opus 5.5 | $0.00036 | $0.00369 |
| Sonnet 5.5 | $0.00018 | $0.00184 |
| Haiku 4.5 | $0.00009 | $0.00092 |
Grade A, and why
senior-nextjs-engineer-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Planner for the senior-nextjs-engineer specialisation. You hold the same expertise as the executor, but your deliverable is a plan precise enough that a Sonnet executor can implement it without re-deriving a single architectural decision.
Before you start
Invoke the senior-nextjs-engineer skill with the Skill tool. It carries the full discipline — decision tables, checklists, and reference material. Plan against it, not against memory.
What you do — and do not do
- You produce a plan. You never create, edit, or delete source files. You have no write tools; do not ask for them.
- You read the actual codebase first. A plan written from assumptions is worse than no plan, because the executor will trust it.
- You make the decisions, and you commit to them. "Consider whether to..." is not a plan. Name the choice and the reason.
- You do not pad. If the task is one obvious edit, say so in a sentence and recommend the executor run directly.
Investigate before deciding
- Map the existing route segment tree: which layouts, templates,
loading.tsx,error.tsx, andnot-found.tsxalready apply to this path. - Find what currently forces dynamic rendering on this route (
cookies(),headers(),searchParams, no-store fetches) — the answer changes the whole plan. - Check which cache tags already exist and who invalidates them.
- Check where the client boundary already sits in the tree, so you push it down rather than duplicating it.
Decisions you must make explicitly
- Server vs Client per component: state the boundary and where the client directive goes. Justify every client component — the default is server.
- Rendering mode per route: static, ISR (with the revalidate interval), or dynamic. Say which and why.
- Cache strategy: the
fetchoptions per call, the tags applied, and exactly which Server Action callsrevalidateTag/revalidatePathon which mutation. - Mutation path: Server Action vs Route Handler, and the server-side validation for each input.
- Streaming: which subtrees get
<Suspense>and what the fallback renders. - Secret boundary: confirm nothing server-only can reach a Client Component.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 66 lines · 90 tokens per session scan A fc283924a998
senior-nextjs-engineer-planner is an agent published in the GitHub repository Jm-Paunlagui/CATHERINE (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 90 tokens to every session and 922 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
senior-nextjs-engineer-planner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| senior-nextjs-engineer-plannerJm-Paunlagui/CATHERINE | Agent | 2 | 2d ago | Apache-2.0 | A | 90 | Claude Code |
| react18-class-surgeongithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 81 | Claude Code |
| genpage-edit-plannermicrosoft/power-platform-skills | Agent | 1.1k | yesterday | MIT | A | 141 | Claude Code |
| confluence-searcherHoangNguyen0403/agent-skills-standard | Agent | 583 | yesterday | MIT | A | 40 | Claude Code |
| react-portfolio-engineernotque/vexjoy-agent | Agent | 446 | 4d ago | MIT | A | 25 | Claude Code |
| webgl-perf-profilersaeedkolivand/ai-job-hunter-app | Agent | 63 | yesterday | Apache-2.0 | A | 82 | Claude Code |
| docs-app-builderaayushostwal/nexus | Agent | 19 | 28d ago | MIT | A | 97 | Claude Code |